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Apache Kylin : Analytical Data Warehouse for Big Data

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Welcome to Kylin Wiki.

In this pages, I would like to list all new feature and break changes. Some features are in the status of IN PROGRESS, means Kylin team is going to implement this feature, and we will obey its priority. So if you have your suggestion/opinion on current priority, please let us know.

Basic feature

FeatureDescriptionStatusPriority
Kafka Source(NRT)Planning

IN PROGRESS

P1
Kafka Source(Real-time OLAP)Planning

IN PROGRESS

P1

JDBC Source(Original version)Planning

IN PROGRESS

P2

JDBC Source(Datasource SDK)Planning

IN PROGRESS

P2

MapReduce Build EngineThis feature maybe useless

REMOVED

N/A

Spark Build EngineNew implementation provided

READY

P0

Flink Build EngineN/A

N/A

N/A

HBase StorageDiscussion in mailing list

REMOVED

N/A

Parquet StorageDiscussion in mailing list

READY

P0

Distributed Query EngineNew implementation provided

READY

P0

Advanced MeasureRaw measure and Extended_Column will be removed, COUNT_DISTINCT, TopNPERCENTILE will still be supported.

READY

P0

Query CacheNot change

READY

P0
HBase MetastoreShould be removed in the future.

READY

P2

RDBMS Metastore

READY

P0

Cardinality ComputationPlanning

IN PROGRESS

P1

Storage CleanupNew implementation

READY

P0

CSV SourceNew implementation

READY

P1

Advanced feature

FeatureDescriptionStatusPriority
Global Dictionary(Hive)New global dictionary will replace this feature.

N/A

N/A

Cube PlannerPlanning

IN PROGRESS

P0

System Cube and DashboardNot well tested, planning

IN PROGRESS

P0

Read write SeperatationNew implementation provided

READY

P0

Pushdown EngineNew pushdown engine will only support SparkSQL.

READY

P0

Shrunken DictionaryThis feature maybe useless

REMOVED

N/A

UHC dictionaryThis feature maybe useless

REMOVED

N/A

Deploy on AWS EMRPlanning

IN PROGRESS

P0

ContainerizationPlanning

IN PROGRESS

P0

Hadoop 3 supportPlanning

IN PROGRESS

P0

Read/Write DeploymentNew implementation

READY

P0


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